Sae Byul Park
Papers
1
Total Citations
3
H-Index
1
About
Sae Byul Park is a researcher whose work sits at the intersection of music information retrieval and vocal performance analysis, with a particular focus on children's singing voice research. Her most notable contribution is the creation of the Children's Song Dataset (CSD), an open-source resource introduced in her 2021 paper that has already garnered 3 citations. This carefully curated dataset features 50 Korean and 50 English songs performed by a Korean female professional pop singer, with each song recorded in two separate keys to produce 200 high-quality audio recordings. By providing this standardized, bilingual collection, Park has addressed a critical gap in singing voice research, enabling more robust studies of vocal characteristics, pitch analysis, and cross-cultural musical patterns. Her work demonstrates a thoughtful approach to building foundational resources that empower other researchers to explore the nuances of vocal performance across different languages and musical contexts. Park's dataset has the potential to become a benchmark resource for studies in music education, voice science, and computational musicology.
Research Focus
Key Achievements
Top Papers
- 1CSD: Children's Song Dataset for Singing Voice Research3 citations · 2021